Electrocoagulation of Textile Effluent: RSM and ANN Modeling
This investigation attempts to study electrocoagulation of Acid Blue 113 textile effluent in a batch electrochemical reactor covering wide range in the operating conditions. Experiments were designed using statistical tool of Response Surface Method (RSM) to analyze the combined effect of operating...
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| Veröffentlicht in: | International journal of chemical reactor engineering 2009-12, Vol.7 (1) |
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| container_title | International journal of chemical reactor engineering |
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| creator | Murugan, A. Arul Ramamurthy, Thilakavathi Subramanian, Bala Kannan, C. Srinivasa Ganesan, Madhavi |
| description | This investigation attempts to study electrocoagulation of Acid Blue 113 textile effluent in a batch electrochemical reactor covering wide range in the operating conditions. Experiments were designed using statistical tool of Response Surface Method (RSM) to analyze the combined effect of operating parameters on the efficiency of electro coagulation process. The level of importance of the experimental parameters on the percentage COD removal has been determined by using analysis of variance (ANOVA). Further, the percentage COD removal was also modeled using artificial neural network (ANN). |
| doi_str_mv | 10.2202/1542-6580.1942 |
| format | Article |
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Further, the percentage COD removal was also modeled using artificial neural network (ANN).</description><subject>ANN modeling</subject><subject>central composite design</subject><subject>COD removal</subject><subject>electrocoagulation</subject><subject>response surface methodology</subject><issn>1542-6580</issn><issn>1542-6580</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNpNj01PhDAYhBujievq1XP_ANiWUsB4WVf8wF2MitFb89K-bFCkBthk_fdK1mw8zWQyM8lDyClnvhBMnPFQCk-FMfN5IsUemeyC_X_-kBz1_TtjPAlDPiEXaYNm6JxxsFo3MNSupa6iBW6GukGaVlWzxnY4p0_PSwqtpbM8p0tnsanb1TE5qKDp8eRPp-TlOi3mt97i4eZuPlt4RkTR4FkTlIEVhtmqFDEoMLENFCYWEYDHSkgroVRKgeVghUSQiTUJ8CiOAFUSTIm__TWd6_sOK_3V1Z_QfWvO9MiuRzw94umR_XfgbQd1P-Bm14buQ6soiEL9WEidvV5m-dv9lc6CH9Z5W2U</recordid><startdate>20091202</startdate><enddate>20091202</enddate><creator>Murugan, A. 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Srinivasa ; Ganesan, Madhavi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c277t-dc3b3d2c0dfb28a6ac8d36e9deeaa18624d4ab666ad1ad24ea49dc9a1787ae693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>ANN modeling</topic><topic>central composite design</topic><topic>COD removal</topic><topic>electrocoagulation</topic><topic>response surface methodology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Murugan, A. Arul</creatorcontrib><creatorcontrib>Ramamurthy, Thilakavathi</creatorcontrib><creatorcontrib>Subramanian, Bala</creatorcontrib><creatorcontrib>Kannan, C. 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Experiments were designed using statistical tool of Response Surface Method (RSM) to analyze the combined effect of operating parameters on the efficiency of electro coagulation process. The level of importance of the experimental parameters on the percentage COD removal has been determined by using analysis of variance (ANOVA). Further, the percentage COD removal was also modeled using artificial neural network (ANN).</abstract><pub>De Gruyter</pub><doi>10.2202/1542-6580.1942</doi></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1542-6580 |
| ispartof | International journal of chemical reactor engineering, 2009-12, Vol.7 (1) |
| issn | 1542-6580 1542-6580 |
| language | eng |
| recordid | cdi_crossref_primary_10_2202_1542_6580_1942 |
| source | De Gruyter journals |
| subjects | ANN modeling central composite design COD removal electrocoagulation response surface methodology |
| title | Electrocoagulation of Textile Effluent: RSM and ANN Modeling |
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